Research Engineer/Research Scientist - Personal AGI, North Stars

Openai
San Francisco, US
On-site

Who this role is best for

Geared toward mid-level ML engineers comfortable with product-driven research in a hybrid San Francisco setting.

Best fit for

  • ML engineers with experience in model behavior analysis and capability improvement.
    — “Have a deep understanding of machine learning and machine learning applications.
  • Researchers who thrive in dynamic, technically complex environments.
    — “Thrive in a dynamic and technically complex environment.
  • Candidates passionate about translating research into product impact.
    — “Passionate about creative, product-driven research.

Things to consider

  • Requires 3 days per week in-office in San Francisco.
    — “We use a hybrid work model of 3 days in the office per week.
  • Must be comfortable diving into large ML codebases for debugging.
    — “Are comfortable diving into a large ML codebase to debug.

How to stand out

  • Highlight specific examples of model capability improvements you've driven.
    — “Build robust evaluations for tracking modeling improvements.
  • Demonstrate experience with both research and product collaboration.
    — “Collaborate closely with the other research and product teams.
  • Showcase projects where you've defined and measured AI capabilities.
    — “We work on defining, measuring, and improving capabilities across the training stack.
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improving model capability and performance
  • collaborating with research and product teams
  • building robust evaluations
Typical background
strong ML engineering skillsresearch experience

Skills & requirements

Required

Machine LearningResearch EngineeringModel BehaviorPersonalizationSafetyFactualityInstruction FollowingMultilingual FluencyWorld Interaction

Preferred

Personal AGIChatgptAPIProduct-driven Research

Stack & domain

Machine LearningModel TrainingEvaluationCode ImplementationDebuggingResearchCollaborationProblem SolvingTechnical ProficiencyAdaptabilityAI

About the role

Original posting from Openai via Ashby

About the Team

The Personal AGI team seeks to empower all of humanity to benefit from frontier intelligence in whatever way they choose. We are responsible for training models to deploy to millions of users globally via ChatGPT, the API, and future products. We aim to evolve ChatGPT from a chatbot to an infinitely capable and personalized superassistant supporting human flourishing.

We work on defining, measuring, and improving capabilities across the training stack. Our focus areas include but are not limited to model behavior, personalization, safety, factuality, instruction following, personality, interactivity, multilingual fluency, world interaction, and bringing agents to everyone. We chart the course for what to strive towards.

We partner closely with research and product teams across the company ensuring that our models are safe, efficient, and reliable.

About the Role

You’ll work as a Research Engineer / Scientist on the North Stars team within the broader Personal AGI research org. You will work on bringing the next generation of AI-enabled experiences to all of humanity by closing the capability overhang between power users and the average consumer, including areas like tool-use, feature discovery, connectors, and instruction following. You will think deeply about the current bottlenecks in model behavior, translate these insights into robust evals, training data, reward signals, and model and harness improvements.

We're looking for individuals with strong ML engineering skills and research experience passionate about creative, product-driven research.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Own and pursue a research agenda to improve model capability and performance.
  • Collaborate closely with the other research and product teams, allowing customers to optimize their own models.
  • Build robust evaluations for tracking modeling improvements.
  • Design, implement, test, and debug code across our research stack.

You might thrive in this role if you:

  • Have a deep understanding of machine learning and machine learning applications.
  • Have a working knowledge of relevant models, and building evaluations for model capability improvement.
  • Are comfortable diving into a large ML codebase to debug.
  • Thrive in a dynamic and technically complex environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Source: Openai careers (Ashby)

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